A general framework for combining traffic flow models and Bayesian network for traffic parameters estimation
A stochastic framework using Bayesian optimization algorithm to assess the network-level societal impacts of connected and autonomous vehicles
Active lane management and control using connected and automated vehicles in a mixed traffic environment
Anticipated Collision Time (ACT): a two-dimensional surrogate safety indicator for trajectory-based proactive safety assessment
Autonomous cars and activity-based bottleneck model: how do in-vehicle activities determine aggregate travel patterns?
Autonomous navigation at unsignalized intersections: a coupled reinforcement learning and model predictive control approach
Evaluation of e-scooters as transit last-mile solution
Identifying transient and persistent errors in aircraft cruise trajectory prediction using Bayesian state estimation
The contribution of connected vehicles to network traffic control: a hierarchical approach